AI Acoustics is a comprehensive acoustic engineering and psychoacoustics guide designed to assist developers and researchers with wave physics, noise control, and electroacoustics.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-acoustics
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install ai-acoustics using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
AI Acoustics is a specialized technical guide that bridges the gap between physics, human perception, and practical engineering. Serving as a domain-specific expert assistant on Openclaw Skills, it provides comprehensive coverage of wave mechanics, psychoacoustics, architectural soundscapes, medical ultrasound, sonar systems, and electroacoustics. From calculated reverb times to deep-sea sound propagation, this resource acts as an interactive physics laboratory and reference manual for your workflow.
Whether you are designing state-of-the-art concert halls, developing active noise control (ANC) algorithms, or building medical imaging software, this tool simplifies complex formulas like the Sabine equation and the Mass Law of acoustic insulation. By integrating with Openclaw Skills, developers can rapidly query and apply acoustics knowledge directly within their development environments.
To install and run the AI Acoustics guide within your local workspace, use the Openclaw Skills CLI. Ensure you have the runtime environment initialized.
# Install the AI Acoustics skill
openclaw skills:install ai-acoustics
# Configure global acoustic database pathways
openclaw skills:configure ai-acoustics --db-path ./data/acoustics
# Verify installation
openclaw skills:verify ai-acoustics
Once configured, the agent is ready to process sound engineering and architectural acoustics queries.
The AI Acoustics skill organizes its analytical framework into highly structured data structures and metadata schemas to facilitate rapid search and lookup of acoustic principles:
| Domain | Key Data Points | Unit of Measurement |
|---|---|---|
| Wave Physics | Sound Pressure Level (SPL), Speed of Sound | dB (SPL), m/s |
| Psychoacoustics | Critical Bandwidths, Equal Loudness | Bark, Phon, dBA |
| Architectural | Reverberation Time (RT60), Absorption Coefficient | Seconds (s), $\alpha$ |
| Electroacoustics | Impedance Matching, Sensitivity | Ohms ($\Omega$), dBV/Pa |
| Ultrasound | Acoustic Impedance, Resonance | Rayls, MHz |
All generated research structures are outputted as structured JSON files or markdown documents, categorized by tag (e.g., #acoustics, #psychoacoustics, #noise).
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